Junior Data Analyst

Key Areas of Expertise

• Data Modelling and Forecasting
• Business Performance and Margin Analysis
• Sales Performance Analytics
• Pricing Maintenance and Governance
• KPI Development and Performance Tracking
• Dashboard Development (Excel and Power BI)
• Process Automation and Optimisation

Key Responsibilities

Data Management and Analytics

• Source, consolidate, clean, validate, and manage data from accounting systems, SharePoint, semantic models, and Excel-based sources to ensure data integrity and reporting accuracy.
• Conduct exploratory data analysis (EDA) to identify trends, anomalies, margin risks, and business performance patterns.
• Design, develop, and maintain interactive dashboards and automated reporting solutions using Excel.
• Build and maintain data models that support forecasting, budgeting, and performance monitoring.
• Automate recurring reports and data processes to improve efficiency and reduce manual effort.
• Develop and monitor KPIs, sales targets, budgets, and performance scorecards aligned with business objectives.
• Ensure consistency and governance of key metrics across sales and business reporting.
• Prepare and deliver reports on Sales Division performance.

Pricing Management

• Maintain customer price books for Fuel and Lubricants.
• Manage monthly pricing updates and ensure pricing accuracy across systems.
• Work closely with sales teams to investigate and resolve pricing discrepancies and spot price variances.

Business Development and Strategic Support

• Support tender submissions and new business development initiatives.
• Compile client-facing information and communication materials.
• Provide analytical support for presentations and business proposals.
• Deliver data-driven insights that support growth initiatives and margin optimisation strategies.

Requirements

Qualifications, Experience and Knowledge

• A degree in a business-related field.
• Minimum of 2 years' experience in an office or administrative role within an operationally intensive business environment.
• Intermediate to advanced proficiency in Microsoft Excel.
• Experience with Power BI would be advantageous, but is not essential.
• Strong analytical, problem-solving, and reporting skills with a keen attention to detail.